ArticleNetwork neuroscience (Cambridge, Mass.)2019
Computation is concentrated in rich clubs of local cortical networks.
Article in Network neuroscience (Cambridge, Mass.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
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- Time-varying synergy/redundancy dominance in the human cerebral cortex.Journal of physics. Complexity · 2025Article
- A Synergistic Perspective on Multivariate Computation and Causality in Complex Systems.Entropy (Basel, Switzerland) · 2024Article
- A synergistic workspace for human consciousness revealed by Integrated Information Decomposition.eLife · 2024Article
- A Measure of Synergy Based on Union Information.Entropy (Basel, Switzerland) · 2024Article
- The serotonergic psychedelic N,N-dipropyltryptamine alters information-processing dynamics in in vitro cortical neural circuits.Network neuroscience (Cambridge, Mass.) · 2024Article
- Elevating understanding: Linking high-altitude hypoxia to brain aging through EEG functional connectivity and spectral analyses.Network neuroscience (Cambridge, Mass.) · 2024Article
- Orders between Channels and Implications for Partial Information Decomposition.Entropy (Basel, Switzerland) · 2023Article
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- Multivariate information theory uncovers synergistic subsystems of the human cerebral cortex.Communications biology · 2023Article
- Information-processing dynamics in neural networks of macaque cerebral cortex reflect cognitive state and behavior.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Controversies and progress on standardization of large-scale brain network nomenclature.Network neuroscience (Cambridge, Mass.) · 2023Article
- Decomposing past and future: Integrated information decomposition based on shared probability mass exclusions.PloS one · 2023Article
- Untangling Synergistic Effects of Intersecting Social Identities with Partial Information Decomposition.Entropy (Basel, Switzerland) · 2022Article
- Emergence as the conversion of information: a unifying theory.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2022Article
- Revealing the Dynamics of Neural Information Processing with Multivariate Information Decomposition.Entropy (Basel, Switzerland) · 2022Review
- Article
- May the 4C's be with you: an overview of complexity-inspired frameworks for analysing resting-state neuroimaging data.Journal of the Royal Society, Interface · 2022Review
- Partial information decomposition reveals that synergistic neural integration is greater downstream of recurrent information flow in organotypic cortical cultures.PLoS computational biology · 2021Article
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4 authors.
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Abstract
To understand how neural circuits process information, it is essential to identify the relationship between computation and circuit organization. Rich clubs, highly interconnected sets of neurons, are known to propagate a disproportionate amount of information within cortical circuits. Here, we test the hypothesis that rich clubs also perform a disproportionate amount of computation. To do so, we recorded the spiking activity of on average ∼300 well-isolated individual neurons from organotypic cortical cultures. We then constructed weighted, directed networks reflecting the effective connectivity between the neurons. For each neuron, we quantified the amount of computation it performed based on its inputs. We found that rich-club neurons compute ∼160% more information than neurons outside of the rich club. The amount of computation performed in the rich club was proportional to the amount of information propagation by the same neurons. This suggests that in these circuits, information propagation drives computation. In total, our findings indicate that rich-club organization in effective cortical circuits supports not only information propagation but also neural computation.
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